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  • Open Access

    ARTICLE

    The Mathematical Model for Streptococcus suis Infection in Pig-Human Population with Humidity Effect

    Inthira Chaiya1, Kamonchat Trachoo1, Kamsing Nonlaopon2, Din Prathumwan2,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2981-2998, 2022, DOI:10.32604/cmc.2022.021856

    Abstract In this paper, we developed a mathematical model for Streptococcus suis, which is an epidemic by considering the moisture that affects the infection. The disease is caused by Streptococcus suis infection found in pigs which can be transmitted to humans. The patients of Streptococcus suis were generally found in adults males and the elderly who contacted pigs or who ate uncooked pork. In human cases, the infection can cause a severe illness and death. This disease has an impact to the financial losses in the swine industry. In the development of models for this disease, we have divided the population… More >

  • Open Access

    ARTICLE

    Low Profile UHF Antenna Design for Low Earth-Observation CubeSats

    Md. Amanath Ullah1, Touhidul Alam2,3, Ali F. Almutairi4,*, Mohammad Tariqul Islam5

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2533-2542, 2022, DOI:10.32604/cmc.2022.021852

    Abstract This paper reveals a new design of UHF CubeSat antenna based on a modified Planar Inverted F Antenna (PIFA) for CubeSat communication. The design utilizes a CubeSat face as the ground plane. There is a gap of 5 mm beneath the radiating element that facilitates the design providing with space for solar panels. The prototype is fabricated using Aluminum metal sheet and measured. The antenna achieved resonance at 419 MHz. Response of the antenna has been investigated after placing a solar panel. Lossy properties of solar panels made the resonance shift about 20 MHz. This design addresses the frequency shifting… More >

  • Open Access

    ARTICLE

    Intelligent Fuzzy Based High Gain Non-Isolated Converter for DC Micro-Grids

    M. Bharathidasan1, V. Indragandhi1, Ramya Kuppusamy2, Yuvaraja Teekaraman3, Shabana Urooj4,*, Norah Alwadi5

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4069-4084, 2022, DOI:10.32604/cmc.2022.021846

    Abstract Renewable electricity options, such as fuel cells, solar photovoltaic, and batteries, are being integrated, which has made DC micro-grids famous. For DC micro-grid systems, a multi input interleaved non-isolated dc-dc converter is suggested by the use of coupled inductor techniques. Since it compensates for mismatches in photovoltaic devices and allows for separate and continuous power flow from these sources. The proposed converter has the benefits of high gain, a low ripple in the output voltage, minimal stress voltage across the power semiconductor devices, a low ripple in inductor current, high power density, and high efficiency. Soft-switching techniques are used to… More >

  • Open Access

    ARTICLE

    Design of Automated Opinion Mining Model Using Optimized Fuzzy Neural Network

    Ala’ A. Eshmawi1, Hesham Alhumyani2, Sayed Abdel Khalek3, Rashid A. Saeed2, Mahmoud Ragab4, Romany F. Mansour5,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2543-2557, 2022, DOI:10.32604/cmc.2022.021833

    Abstract Sentiment analysis or Opinion Mining (OM) has gained significant interest among research communities and entrepreneurs in the recent years. Likewise, Machine Learning (ML) approaches is one of the interesting research domains that are highly helpful and are increasingly applied in several business domains. In this background, the current research paper focuses on the design of automated opinion mining model using Deer Hunting Optimization Algorithm (DHOA) with Fuzzy Neural Network (FNN) abbreviated as DHOA-FNN model. The proposed DHOA-FNN technique involves four different stages namely, preprocessing, feature extraction, classification, and parameter tuning. In addition to the above, the proposed DHOA-FNN model has… More >

  • Open Access

    ARTICLE

    From Network Functions to NetApps: The 5GASP Methodology

    Jorge Gallego-Madrid1, Ramon Sanchez-Iborra2,*, Antonio Skarmeta1

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 4115-4134, 2022, DOI:10.32604/cmc.2022.021754

    Abstract As the 5G ecosystem continues its consolidation, the testing and validation of the innovations achieved by integrators and verticals service providers is of preponderant importance. In this line, 5GASP is a European H2020-funded project that aims at easing the idea-to-market process through the creation of an European testbed that is fully automated and self-service, in order to foster rapid development and testing of new and innovative 5G Network Applications (NetApps). The main objective of this paper is to present the 5GASP's unified methodology to design, develop and onboard NetApps within the scope of different vertical services, letting them use specific… More >

  • Open Access

    ARTICLE

    Inkjet Printed Metamaterial Loaded Antenna for WLAN/WiMAX Applications

    Farhad Bin Ashraf1, Touhidul Alam2,*, Md Tarikul Islam3, Mandeep Jit Singh3, Norbahiah Binti Misran3, Mohammad Tariqul Islam3

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2271-2284, 2022, DOI:10.32604/cmc.2022.021751

    Abstract In this paper, the design and performance analysis of an Inkjet-printed metamaterial loaded monopole antenna is presented for wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX) applications. The proposed metamaterial structure consists of two layers, one is rectangular tuning fork-shaped antenna, and another layer is an inkjet-printed metamaterial superstate. The metamaterial layer is designed using four split-ring resonators (SRR) with an H-shaped inner structure to achieve negative-index metamaterial properties. The metamaterial structure is fabricated on low-cost photo paper substrate material using a conductive ink-based inkjet printing technique, which achieved dual negative refractive index bands of 2.25–4.25… More >

  • Open Access

    ARTICLE

    A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences

    Siti Julia Rosli1,2, Hasliza A Rahim1,2,*, Khairul Najmy Abdul Rani1,2, Ruzelita Ngadiran2,3, Wan Azani Mustafa3,4, Muzammil Jusoh1,2, Mohd Najib Mohd Yasin1,2, Thennarasan Sabapathy1,2, Mohamedfareq Abdulmalek5, Wan Suryani Firuz Wan Ariffin2, Ahmed Alkhayyat6

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3533-3556, 2022, DOI:10.32604/cmc.2022.021719

    Abstract The essential purpose of radar is to detect a target of interest and provide information concerning the target's location, motion, size, and other parameters. The knowledge about the pulse trains’ properties shows that a class of signals is mainly well suited to digital processing of increasing practical importance. A low autocorrelation binary sequence (LABS) is a complex combinatorial problem. The main problems of LABS are low Merit Factor (MF) and shorter length sequences. Besides, the maximum possible MF equals 12.3248 as infinity length is unable to be achieved. Therefore, this study implemented two techniques to propose a new metaheuristic algorithm… More >

  • Open Access

    ARTICLE

    BERT-CNN: A Deep Learning Model for Detecting Emotions from Text

    Ahmed R. Abas1, Ibrahim Elhenawy1, Mahinda Zidan2,*, Mahmoud Othman2

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2943-2961, 2022, DOI:10.32604/cmc.2022.021671

    Abstract Due to the widespread usage of social media in our recent daily lifestyles, sentiment analysis becomes an important field in pattern recognition and Natural Language Processing (NLP). In this field, users’ feedback data on a specific issue are evaluated and analyzed. Detecting emotions within the text is therefore considered one of the important challenges of the current NLP research. Emotions have been widely studied in psychology and behavioral science as they are an integral part of the human nature. Emotions describe a state of mind of distinct behaviors, feelings, thoughts and experiences. The main objective of this paper is to… More >

  • Open Access

    ARTICLE

    A Deep Two-State Gated Recurrent Unit for Particulate Matter (PM2.5) Concentration Forecasting

    Muhammad Zulqarnain1, Rozaida Ghazali1,*, Habib Shah2, Lokman Hakim Ismail1, Abdullah Alsheddy3, Maqsood Mahmud4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3051-3068, 2022, DOI:10.32604/cmc.2022.021629

    Abstract Air pollution is a significant problem in modern societies since it has a serious impact on human health and the environment. Particulate Matter (PM2.5) is a type of air pollution that contains of interrupted elements with a diameter less than or equal to 2.5 m. For risk assessment and epidemiological investigations, a better knowledge of the spatiotemporal variation of PM2.5 concentration in a constant space-time area is essential. Conventional spatiotemporal interpolation approaches commonly relying on robust presumption by limiting interpolation algorithms to those with explicit and basic mathematical expression, ignoring a plethora of hidden but crucial manipulating aspects. Many advanced… More >

  • Open Access

    ARTICLE

    Chaotic Whale Optimized Fractional Order PID Controller Design for Desalination Process

    F. Kavin1,*, R. Senthilkumar2

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2789-2806, 2022, DOI:10.32604/cmc.2022.021577

    Abstract The main aim of this work is to design a suitable Fractional Order Proportionl Integral Derivative (FOPID) controller with Chaotic Whale Optimization Algorithm (CWOA) for a RO desalination system. Continuous research on Reverse Osmosis (RO) desalination plants is a promising technique for satisfaction with sustainable and efficient RO plants. This work implements CWOA based FOPID for the simulation of reverse osmosis (RO) desalination process for both servo and regulatory problems. Mathematical modeling is a vital constituent of designing advanced and developed engineering processes, which helps to gain a deep study of processes to predict the performance, more efficiently. Numerous approaches… More >

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